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Joe Li
Observed names:
J Li,
Jiejun Li
Institution:
SEGi University
Observed institutions:
University of Technology Sydney,
University of Hawaiʻi at Mānoa,
State Grid Corporation of China (China),
Princeton University,
SEGi University
ORCID:
0009-0009-6834-6810
Observed ORCID:
0009-0009-6834-6810
OpenAlex ID:
A5001809543
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
2024
·
Joe Li
, Peter Washington
·
JMIR AI
·
67
PDF
A Simplified DC-Bias Injection Method for Characterizing Power Magnetics Using a Voltage Mirror Transformer
2024
·
Shukai Wang
, Haoran Li
, et al.
·
IEEE Transactions on Power Electronics
·
12
Investigating the Mutual Impact of Waveform, Temperature, and Dc-Bias on Magnetic Core Loss using Neural Network Models
2024
·
Joe Li
, Edward Deleu
, et al.
·
Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition
·
8
Multi-Material Power Magnetics Modeling with a Modular and Scalable Machine Learning Framework
2024
·
Edward Deleu
, Haoran Li
, et al.
·
Conference proceedings/Conference proceedings - IEEE Applied Power Electronics Conference and Exposition
·
5
An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation
2021
·
Mahdi Abdollahi
, Xiaoying Gao
, et al.
·
Open Access Victoria University of Wellington | Te Herenga Waka (Figshare)
·
2
A Microgrid Power Trading Method Based On Blockchain And Cooperative Game Model Under Security Constraints
2024
·
Renxi He
, Haiming Lin
, et al.
·
Asian Conference on Frontiers of Power and Energy (ACFPE)
·
1
Top-K Permutation-Based Feature Selection with Reused One-Hot Subspace and Threshold Optimization for University Student Telecom Churn Prediction
2026
·
Jiejun Li
, Norriza Hussin
, et al.
·
International Conference on Artificial Intelligence and Data Sciences (AiDAS)
Exploring Feature Selection Methods in Predicting College Students' Churn in Telecom Services
2024
·
Jiejun Li
, Norriza Hussin
, et al.
·
International Conference on Artificial Intelligence and Data Sciences (AiDAS)
A GA guided K-Space sampling for compressed sensing MRI
2012
·
Hua Wang
, Yeyang Yu
, et al.
An orthogonality based RF decoupling method
2010
·
Hua Wang
, Joe Li
, et al.
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Works count:
10
Citation count:
95
H-index:
4
I10-index:
2
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